Ye Lin

2.5k citations
61 papers · 1.6k · h-index 22

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 9
    • Cancer, Hypoxia, and Metabolism 4
    • Cancer-related molecular mechanisms research 4

Ye Lin

57 papers receiving 1.6k citations

Peers

Ye Lin
Comparison fields: 5 of 86
  • Cancer Research 519
  • Hepatology 141
  • Oncology 288
  • Molecular Biology 714
  • Pulmonary and Respiratory Medicine 171
Replace Xiaolei Shi with:
Xiaolei Shi China
Jiefu Huang China
Seiji Naganuma Japan
Katalin Dezső Hungary
Karl Reinhard Aigner Germany
Kuiran Dong China
Guo‐Huan Yang China
Joachim Høg Mortensen Denmark
Wen-Wei Zhu China
Ander Arbelaiz Spain
Ye Lin relative to Xiaolei Shi China Xiaolei Shi's profile →
Citations per field
00.5×2×3×4.2×
Xiaolei Shi · 1×
Citations per year

Countries citing papers authored by Ye Lin

Since Specialization
Citations

This map shows the geographic impact of Ye Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ye Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Lin more than expected).

Fields of papers citing papers by Ye Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ye Lin. The network helps show where Ye Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Ye Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ye Lin Line = papers co-authored together Ye Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020260
2 2017132
3 2009117
4 202096
5 202079
6 201973
7 201967
8 202061
9 201542
10 202241
11 202134
12 201833
13 202432
14 201830
15 202030
16 201129
17 201528
18 202428
19 202227
20 201925

About Ye Lin

Ye Lin is a scholar working on Hepatology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), RNA modifications and cancer (7 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Circular RNAs in diseases (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related molecular mechanisms research (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers). The work is most often cited by research in Cancer Research (519 citations), Hepatology (141 citations), Oncology (288 citations), Molecular Biology (714 citations) and Pulmonary and Respiratory Medicine (171 citations). Ye Lin has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Haosheng Jin, Zhixiang Jian, Min Yu, Zhixiang Jian, Baohua Hou, Guanqun Huang, Renguo Guan, Haiyan Liu, Chong Wang and Jianhong Huang. Their work appears in journals such as Cell Death and Disease, Frontiers in Oncology, Frontiers in Immunology, Cancer Medicine and International Journal of Surgery.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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